Computational Intelligence in Communications and Business Analytics: 5th International Conference, CICBA 2023, Kalyani, India, January 27–28, 2023, Revised Selected Papers

✍ Scribed by Kousik Dasgupta (editor), Somnath Mukhopadhyay (editor), Jyotsna K. Mandal (editor), Paramartha Dutta (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 369
• Series: Communications in Computer and Information Science; 1955
• Category: Library

✦ Synopsis

This two-volume set constitutes the refereed proceedings of the 5th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2023, held in Kalyani, India, during January 27–28, 2023.

The 52 full papers presented in this volume were carefully reviewed and selected from 187 submissions. The papers present recent research on intersection of computational intelligence, communications, and business analytics, fostering international collaboration and the dissemination of cutting-edge research.

✦ Table of Contents

Preface
Organization
Contents – Part I
Contents – Part II
A Review on Machine Learning and Deep Learning Based Approaches in Detection and Grading of Alzheimer’s Disease
1 Introduction
2 Image Modalities
3 Image Pre-processing
4 Biomarkers and Feature Extractions
5 Performance Analysis
5.1 Dataset Repository: OASIS
5.2 Dataset Repository: ADNI
5.3 Dataset Repository: Kaggle
5.4 Discussion
6 Conclusions
References
Assessment of Slope Instability in a Hilly Terrain: A Logistic Regression and Random Forest Based Approach
1 Introduction
2 Study Area
3 Materials and Methodology
3.1 Data Collection and Acquisition for landslide Inventory Creation
3.2 Causal Factors for Slope Instability
3.3 Susceptibility Mapping Models
3.4 Assessment of Multicollinearity
4 Results and Exhibits
4.1 Results of Logistic Regression Model
4.2 Results of Random Forest Model
4.3 Performance Assessment for the Susceptible Maps
5 Conclusion and Future Directives
References
A Comparative Study on the Evaluation of k-mer Indexing in Genome Sequence Compression
1 Introduction
2 Literature Survey
3 Methodologies
3.1 HiRGC
3.2 SCCG
3.3 HRCM
4 System Requirements and Benchmark Data Sets
5 Results and Discussion
6 Conclusion
References
Classification of Text and Non-text Components Present in Offline Unconstrained Handwritten Documents Using Convolutional Neural Network
1 Introduction
2 Related Literature
3 Present Work
3.1 Connected Component Extraction
3.2 Architecture of the Present CNN
4 Experimental Outcomes
5 Conclusion
References
Motion Detection Using Three Frame Differencing and CNN
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Input Video
3.2 Frame Extraction
3.3 Motion Detection of 3 Frame Differencing
3.4 Get Object Location
3.5 Tracking Object Using Cnn
4 Experimental Results
4.1 When the Frames Are not Moving
4.2 If Motion is Discernible in the Frame
4.3 Limitation
5 Conclusion and Future Work
References
Advance Detection of Diabetic Retinopathy: Deep Learning Approach
1 Introduction
2 Related Work
3 Methods
3.1 Dataset
3.2 Pre-processing
3.3 Binary Classification
3.4 Multi-Class Classification
3.5 Model Development
4 Results and Discussion
4.1 DenseNet Architecture
4.2 Evaluation Metrices
5 Conclusion and Future Work
References
Load Flow Solution for Radial Distribution Networks Using Chaotic Opposition Based Whale Optimization Algorithm
1 Introduction
2 Motivation for the Research Work
3 Power Flow Problem
4 Mathematical Problem Formulation
4.1 System Constraints
5 Whale Optimization Algorithm (WOA)
5.1 Mathematical Model of WOA
5.2 Method of Bubble-Net Hunting
5.3 Search for Prey
6 Chaotic Process
7 Opposition-Based Learning Method
8 Simulation Results and Discussion
8.1 IEEE 33-Bus System
8.2 IEEE 69-Bus System
9 Statistical Analysis of COWOA
10 Conclusion
References
Dimension Reduction in Hyperspectral Image Using Single Layer Perceptron Neural Network
1 Introduction
2 Related Work
2.1 Band Ranking
2.2 Band Clustering
3 Proposed Methodology
4 Result and Discussion
4.1 Dataset Description
4.2 Analysis of Performance
5 Conclusion
References
Economic Load Dispatch Problem Using African Vulture Optimization Algorithm (AVOA) in Thermal Power Plant with Wind Energy
1 Introduction
2 Mathematical Problem Formulation
2.1 Quadratic Cost Function
2.2 System Constraints
2.3 ELD Without Transmission Losses
2.4 Wind Energy
2.5 Direct Cost
2.6 Objective Function
3 African Vulture Optimization Algorithm
3.1 Phase 1
3.2 Phase 2
3.3 Phase 3
3.4 Phase 4
4 Simulation Results and Discussions
4.1 Case Studies 1
4.2 Case Studies 2
4.3 Case Studies 3
5 Conclusions
References
Grey Wolf Optimization Based Maximum Power Point Tracking Algorithm for Partially Shaded Photovoltaic Modules in Wireless Battery Charging Application
1 Introduction
2 Fundamentals of Wireless Charging Scheme for Battery
3 Maximum Power Point Tracking (MPPT) of PV Module
3.1 MPPT under Normal Solar Radiation
3.2 MPPT under Partial Shading Condition
4 Design of Various Parameters
5 Validation
5.1 Validation under Normal Solar Condition
5.2 Validation under Partial Shading Condition
6 Conclusion
References
Regression Analysis for Finding Correlation on Indian Agricultural Data
1 Introduction
2 Indian Agricultural Data
2.1 Source
2.2 Extraction
2.3 Data Cleansing and Preparation
3 Data Analysis Approach
3.1 Methodology
3.2 Algorithmic Explanation
4 Experiment Result and Discussion
4.1 Experimental Set Up
4.2 Algorithmic Development
4.3 Result Generation
4.4 Output Explanation
4.5 Discussion
5 Conclusion and Future Scope
References
Classification of the Chest X-ray Images of COVID-19 Patients Through the Mean Structural Similarity Index
1 Introduction
2 Materials and Methods
2.1 Description of Dataset
2.2 Structural Similarity Index Measure
2.3 Ensemble Tree Classifier
3 Results and Discussion
4 Conclusion
References
A Religious Sentiment Detector Based on Machine Learning to Provide Meaningful Analysis of Religious Texts
1 Introduction
2 Review of Literature
3 Background
4 Proposed Model
5 Result Analysis and Discussion
5.1 Training and Testing Phases
6 Discussion and Conclusions
References
Automated Detection of Melanoma Skin Disease Using Classification Algorithm
1 Introduction
1.1 Background Study
1.2 Methodology
1.3 Implementation
1.4 Results
1.5 Conclusion
References
Identification of Cloud Types for Meteorological Satellite Images: A Character-Based CNN-LSTM Hybrid Caption Model
1 Introduction
2 Related Work
3 Preliminaries
3.1 Convolutional Neural Network (CNN)
3.2 Bidirectional LSTM
4 Problem Description
5 Proposed Methodology
6 Experimental Results
7 Conclusion
References
Prediction and Deeper Analysis of Market Fear in Pre-COVID-19, COVID-19 and Russia-Ukraine Conflict: A Comparative Study of Facebook Prophet, Uber Orbit and Explainable AI
1 Introduction
2 Data Description
3 Methodology
3.1 Facebook Prophet
3.2 Uber Orbit
3.3 Performance Measurement
3.4 Explainable AI
4 Results and Analyses
4.1 Outcome of Forecasting
4.2 Outcome of Explainable AI-Based Modeling
5 Conclusions
References
ANN for Diabetic Prediction by Using Chaotic Based Sine Cosine Algorithm
1 Introduction
2 Mathematical Model of the Diabetic Prediction Problem
3 Dataset Description
4 Optimization Algorithms
4.1 Particle Swarm Optimization
4.2 Sine Cosine Algorithm
5 Chaos Theory
6 Proposed Chaotic Sine Cosine Algorithm
7 Result and Discussion
8 Conclusion and Future Direction
References
A Deep CNN Framework for Oral Cancer Detection Using Histopathology Dataset
1 Introduction
2 Related Work
3 Proposed Work
3.1 Data Augmentation
3.2 Conv2D Layer
3.3 Drop-Out Layer
3.4 Max Pooling Layer
3.5 Flatten
3.6 Dense
4 Experimental Results
5 Conclusion
References
AntiNuclear Antibody Pattern Classification Using CNN with Small Dataset
1 Introduction
2 Literature Survey
3 Methodology
3.1 Dataset
3.2 Dataset Preprocessing
3.3 Proposed Architecture
4 Experimental Result
4.1 Results for Model I
4.2 Results for Model II
4.3 Results for Model III
5 Conclusion
References
Classification of Offensive Tweet in Marathi Language Using Machine Learning Models
1 Introduction
2 Related Work
3 Methodology
3.1 Data Description and Pre-processing
3.2 Machine Learning Models
3.3 Deep-Learning Models
4 Result
5 Discussion
6 Conclusion
References
An Integrative Method for COVID-19 Patients’ Classification from Chest X-ray Using Deep Learning Network with Image Visibility Graph as Feature Extractor
1 Introduction
2 Materials and Methods
3 Results and Discussion
4 Conclusion
References
Identification and Multi-classification of Several Potato Plant Leave Diseases Using Deep Learning
1 Introduction
1.1 Background Study
1.2 Scope
1.3 Disease Categories
2 Literature Review
2.1 Related Work
3 Proposed Methodologies
3.1 Dataset Collection
3.2 Pre-processing
3.3 Filtering
3.4 Visualizing the Images
3.5 Model Creation
3.6 Compiling the Model
3.7 Training and Testing
4 Results and Analysis
4.1 Model’s Accuracy and Loss Graph on the Dataset without Data Augmentation
4.2 Classification
5 Conclusion
References
A GUI-Based Approach to Predict Heart Disease Using Machine Learning Algorithms and Flask API
1 Introduction
2 Proposed Methodology
2.1 Datasets
2.2 Machine Learning Algorithms
3 Results
4 Comparison
5 Conclusion
References
Classification of Cricket Shots from Cricket Videos Using Self-attention Infused CNN-RNN (SAICNN-RNN)
1 Introduction
2 Related Work
3 Datasets Description
3.1 UCF101 Subset
3.2 CrickShot10 [1]
4 Proposed Workflow
5 Transfer Learning-Based CNN [11]-RNN [10] Architecture
6 Results and Discussions
6.1 Hardware Configuration
6.2 Evaluation
6.3 Discussion
7 Conclusion and Future Works
References
Attention-Residual Convolutional Neural Network for Image Restoration Due to Bad Weather
1 Introduction
2 Related Work
2.1 Image Rain Removal
2.2 Image Dehazing
3 Methodology
3.1 Feature Extraction
3.2 Channel Attention
3.3 Reconstuction of Image
4 Experimental Results
4.1 Implementation
4.2 Datasets
4.3 Result Analysis
5 Conclusion
References
Deep Learning-Based Intelligent GUI Tool For Skin Disease Diagnosis System
1 Introduction
1.1 Objective
1.2 Contribution
2 Related Work
3 Proposed Framework
3.1 Dataset Description
3.2 Android Tool
4 Experimental Results
5 Conclusion
References
Author Index